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A Fast BP Algorithm for Bistatic Spotlight SAR Based on Spectrum Compression

机译:基于频谱压缩的双基地聚光SAR快速BP算法

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For bistatic spotlight synthetic aperture radar (SAR) with parallel trajectory, this paper investigates a fast back-projection (BP) imaging algorithm based on spectrum compression. The long synthetic aperture is split into several short subapertures (SAs), and each of them constructs a SA image with coarse azimuth resolution in a unified rectangular coordinate system by BP integral. Then, by applying the spectrum compression technique introduced in the paper, the azimuth spectrum of the SA image can be compressed greatly and, as such, the images can be coherently accumulated after azimuth up-sampling and spectrum recovery. Since there is no need for data interpolation in the image fusion, the proposed algorithm can achieve high precision as the original BP algorithm does but with higher computational efficiency. Simulation experiments are presented to validate the effectiveness of the method.
机译:对于具有平行轨迹的双基地聚光合成孔径雷达(SAR),本文研究了一种基于频谱压缩的快速反投影(BP)成像算法。长的合成孔径被分成几个短的子孔径(SA),并且每个子孔径都通过BP积分在统一的直角坐标系中构造出具有粗方位角分辨率的SA图像。然后,通过应用本文介绍的频谱压缩技术,可以极大地压缩SA图像的方位频谱,这样,在方位向上采样和频谱恢复后,图像可以被相干地累积。由于不需要在图像融合中进行数据插值,因此该算法可以达到与原始BP算法一样的高精度,但是具有较高的计算效率。仿真实验证明了该方法的有效性。

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